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Released:
Python interface to unofficial Yahoo Finance API endpoints
Jan 05, 2021 In this article, we’re going to talk about how to perform web scraping with python, using Selenium in the Python programming language. Web scraping, also called web data extraction, refers to the technique of harvesting data from a web page through leveraging the patterns in the page’s underlying code. The course will also introduce the selenium package for interacting with Javascript-oriented sites and the scrapy package for recursively crawling multiple web pages. Students will be able to pull data from a simple website into Python and filter, sort, and aggregate it (primary goal of the course).
Project description
Driver canon lbp 2900 for mac. Python wrapper for an unofficial Yahoo Finance API
Documentation: https://yahooquery.dpguthrie.com
Interactive Demo: https://yahooquery-streamlit.herokuapp.com
Source Code: https://github.com/dpguthrie/yahooquery
Blog Post: https://towardsdatascience.com/the-unofficial-yahoo-finance-api-32dcf5d53df
Overview
Yahooquery is a python interface to unofficial Yahoo Finance API endpoints. The package allows a user to retrieve nearly all the data visible via the Yahoo Finance front-end.
Some features of yahooquery:
- Fast: Data is retrieved through API endpoints instead of web scraping. Additionally, asynchronous requests can be utilized with simple configuration
- Simple: Data for multiple symbols can be retrieved with simple one-liners
- User-friendly: Pandas Dataframes are utilized where appropriate
- Premium: Yahoo Finance premium subscribers are able to retrieve data available through their subscription
Requirements
Python 2.7, 3.5+
- Pandas - Fast, powerful, flexible and easy to use open source data analysis and manipulation tool
- Requests - The elegant and simple HTTP library for Python, built for human beings.
- Requests-Futures - Asynchronous Python HTTP Requests for Humans
Yahoo Finance Premium Subscribers
Selenium - Web browser automation
Selenium is only utilized to login to Yahoo, which is done when the user passes certain keyword arguments. Logging into Yahoo enables users who are subscribers to Yahoo Finance Premium to retrieve data only accessible to premium subscribers.
Installation
If you're a Yahoo Finance premium subscriber and would like to retrieve data available through your subscription, do the following:
Otherwise, omit the premium argument:
Example
The majority of the data available through the unofficial Yahoo Finance API is related to a company, which is represented in yahooquery as a Ticker
. You can instantiate the Ticker
class by passing the company's ticker symbol. For instance, to get data for Apple, Inc., pass aapl
as the first argument to the Ticker
class:
Multiple Symbol Example
The Ticker
class also makes it easy to retrieve data for a list of symbols with the same API. Simply pass a list of symbols as the argument to the Ticker
class.
License
This project is licensed under the terms of the MIT license.
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Web Scraper Python Tutorial
Download files
Download the file for your platform. If you're not sure which to choose, learn more about installing packages.
Filename, size | File type | Python version | Upload date | Hashes |
---|---|---|---|---|
Filename, size yahooquery-2.2.15-py2.py3-none-any.whl (46.4 kB) | File type Wheel | Python version py2.py3 | Upload date | Hashes |
Filename, size yahooquery-2.2.15.tar.gz (1.0 MB) | File type Source | Python version None | Upload date | Hashes |
Python Web Scraping Tools
Hashes for yahooquery-2.2.15-py2.py3-none-any.whl
Algorithm | Hash digest |
---|---|
SHA256 | d3092d7d0f5172c2003676bfd872104c328c2ae9325ec4e44d7d34bfbb90c178 |
MD5 | a9660531a5b57d866225d9ce3049c71c |
BLAKE2-256 | 0e73e1ae346b40d5fd48747a4153339e36e4b95bc0338688a269fd9ca7862320 |
Hashes for yahooquery-2.2.15.tar.gz
Algorithm | Hash digest |
---|---|
SHA256 | 59a3d994143deb24debe1473f802e07a113127baa99aff8073536f263da7199d |
MD5 | bc11ec3893069415af93209f4014bed1 |
BLAKE2-256 | 02bf03d28611fe2331edca8ae318f463b326245c5fe2405e9ab01eec8ced1546 |
Web scraping using Python in Windows was tough. Installing pip in windows and using it to install packages useful for web scraping was the hardest part of all. Fortunately, those days are over. Python 3 now ships with PIP built-in. It can be installed easily in Windows by downloading Python 3 from Python.org. Follow the steps below to setup python 3 on your Windows 10 computer.
Installing Python 3 and PIP on Windows
Here are the steps
- Download Python 3 from Python.org. Python 3.6.4 is the latest stable release at the time of writing this article. You can download it here https://www.python.org/downloads/release/python-364/
- Start the installer. The installation is straightforward. Its good to just verify if PIP is selected in Optional Features (It must be). pip is a package management system used to install and manage software packages written in Python. Many packages can be found in the Python Package Index (PyPI). Make sure you select Add Python3.6 to PATH to add python environment variables to your PATH making Python and PIP accessible from PowerShell or Command Prompt. We will need this to install packages via pip and run scripts from command line using
python <script>
Below is a GIF of the installation process. - After setup is successful, Disable path length python limit. If python was installed in a directory with a path length greater than 260 characters, adding it to the path could fail.
You can close the window now. - Verify Python Installation – Let us verify if it really worked. Open PowerShell (or Command Prompt) and type
python --version
and press enter. You should see a screen similar to the one below with the version of python you installed printed below. - Verify Pip Installation – Now let’s verify if pip is also installed. In PowerShell (or Command Prompt) type
pip -V
and you should see something like this
That’s it. You’ve set up Python and PIP in windows. Let’s continue to install packages.
Installing Python Packages for Web Scraping
Installing Python Packages is a breeze with PIP. All you have to do is open PowerShell or Command Prompt and type:
Here are some of the most common packages we use in our web scraping tutorials
BeautifulSoup
BeautifulSoup is a library for pulling data out of HTML and XML files. It works with your favorite parser to provide idiomatic ways of navigating, searching, and modifying the parse tree. It commonly saves programmers hours or days of work. Install BeautifulSoup in Windows with this command:
You’ll get a screen similar to this when done.
LXML
LXML is the most feature-rich and easy-to-use library for processing XML and HTML in the Python language. We use LXML to parse HTML content downloaded from web pages by converting it into a Tree Like structure that can be navigated programmatically using semi-structured Query Languages like XPaths or CSS Selectors.
Install it using
You’ll get a screen similar to this when done.
Python Package For Web Scraping Pdf
Requests – HTTP for Humans
Although python has its own HTTP Libraries, requests cut down lots of manual labor that comes with urllib. Requests allow you to send organic, grass-fed HTTP/1.1 requests, without the need for manual labor. There’s no need to manually add query strings to your URLs or to form-encode your POST data. Keep-alive and HTTP connection pooling are 100% automatic, thanks to urllib3. Install it using
Once done it would look like this
We can help with your data or automation needs
Turn the Internet into meaningful, structured and usable data Iso power for mac.
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